Job Description

Work within and across teams to solve complex technical challenges. Develop best practices around integration of state-of-the-art AI models to build product capabilities and AI features. Write production-quality code, apply debugging best practices, and stay current with industry trends. Shape product direction by integrating rigorous scientific methods into the product lifecycle. Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders. Serving as a bridge between research and product. Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices. Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 4+ years of experience in predictive analytics, statistics, or research. Experience with synthetic data generation and data management for evaluation/training. At least one year of experience publishing patents or peer-reviewed papers. Proficiency in English and cross-functional collaboration. Deep motivation for user-centric AI and interest in human cognition, memory, and AI. These requirements include but are not limited to the following specialized security screenings: Prior experience of working with LLM and Gen AI models. Prior experience of working production grade applications by making use of AI models. Expertise and exposure around the latest developments on the latest developments around the LLM and Gen AI models.

Skills Required